package com.flink.java.demo.stream;

/**
 * 无界数据
 *
 */

import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;

import java.util.Arrays;

public class UnboundedStreamWordCount {
    public static void main(String[] args) throws Exception {
        // 1. 创建流式执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();



        /**
         *  2. 读取文本流
         *  此处在192.168.137.102上使用 nc 模拟数据源。 在机器上执行 nc -lk 7777   (7777表示任意一个没有被占用的端口)
         */
        DataStreamSource<String> lineDSS = env.socketTextStream("192.168.137.102", 7777);
        // 3. 转换数据格式
        SingleOutputStreamOperator<Tuple2<String, Long>> wordAndOne = lineDSS
                .flatMap((String line, Collector<String> words) -> {
                    Arrays.stream(line.split(" ")).forEach(words::collect);
                })
                .returns(Types.STRING)
                .map(word -> Tuple2.of(word, 1L))
                .returns(Types.TUPLE(Types.STRING, Types.LONG));

/*
        wordAndOne.keyBy(new KeySelector<Tuple2<String, Long>, String>() {
            @Override
            public String getKey(Tuple2<String, Long> value) throws Exception {
                return value.f0;
            }
        });*/

        // 4. 分组
        KeyedStream<Tuple2<String, Long>, String> wordAndOneKS = wordAndOne.keyBy(t -> t.f0);
        // 5. 求和
        SingleOutputStreamOperator<Tuple2<String, Long>> result = wordAndOneKS.sum(1);
        // 6. 打印
        result.print();
        // 7. 执行
        env.execute();
    }
}

